Browsing Faculty of Engineering and Science by Journals "IEEE Access"
Now showing items 1-20 of 59
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A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids
(Journal article; Peer reviewed, 2017)In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ... -
An EEMD Aided Comparison of Time Histories and Its Application in Vehicle Safety
(Journal article; Peer reviewed, 2017)In the context of signal processing, the comparison of time histories is required for different purposes, especially for the model validation of vehicle safety. Most of the existing metrics focus on the mathematical value ... -
Analysis of load balancing and interference management in heterogeneous cellular networks
(Journal article; Peer reviewed, 2017)To meet the current cellular capacity demands, proactive offloading is required in heterogeneous cellular networks (HetCNets) comprising of different tiers of base stations (BSs), e.g., small-cell BSs (sBSs) and conventional ... -
Autonomous UAV Path Planning Using Modified PSO for UAV-Assisted Wireless Networks
(Peer reviewed; Journal article, 2023)Recently, unmanned aerial vehicles (UAVs) have attained considerable attention for providing reliable and cost-effective communication due to the flexibility of deployment and line of sight (LoS) propagation. Efficient UAV ... -
CArDIS: A Swedish Historical Handwritten Character and Word Dataset
(Peer reviewed; Journal article, 2022)This paper introduces a new publicly available image-based Swedish historical handwritten character and word dataset named C haracter Ar kiv D igital S weden (CArDIS) ( https://cardisdataset.github.io/CARDIS/ ). The samples ... -
Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder
(Peer reviewed; Journal article, 2023)Adults who have brain tumors face a serious and potentially fatal challenge since the tumors rapidly growing malignant cells can seriously impair their physiological ability. In clinical practice, imaging techniques such ... -
A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks
(Peer reviewed; Journal article, 2023)Blockchains are a new approach to creating distributed networks that were first introduced in 2008. It allows the formation of peer-to-peer networks based on consensus, forming chains from accepted blocks without requiring ... -
Current Modulation Induced Stability in Laser Diode Under High Optical Feedback Strength
(Peer reviewed; Journal article, 2021)The back-reflection of emitted laser beam (optical feedback, also know as selfmixing) from various external interfaces are sufficient to cause instability, and prohibiting its use in various fields such as communication, ... -
DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features
(Peer reviewed; Journal article, 2023)One of the leading causes of mortality worldwide is cardiovascular disease (CVD). Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart’s health. This study presents a multi-class classifier ... -
A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing
(Peer reviewed; Journal article, 2019)Mobile edge computing (MEC) has shown tremendous potential as a means for computationally intensive mobile applications by partially or entirely offloading computations to a nearby server to minimize the energy consumption ... -
DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network
(Peer reviewed; Journal article, 2023)A novel wearable consumer electronics device for detecting Major Depressive Disorder (MDD) has been developed using deep learning techniques for smart healthcare. Accurate identification of MDD through individual interviews ... -
Detection of Depression Using Weighted Spectral Graph Clustering With EEG Biomarkers
(Peer reviewed; Journal article, 2023)The alarming annual growth in the number of people affected by Major Depressive Disorder (MDD) is a problem on a global scale. In the primary scrutiny of depression, Electroencephalography (EEG) is one of the analytical ... -
Dielectric Modulated Bilayer Electrode Top Contact OTFT for Label Free Biosensing
(Peer reviewed; Journal article, 2023)In this paper, dielectric modulated bilayer electrodes top contact organic field effect transistor (DMBETC-OTFT) is investigated as a biosensing device for label-free detection of biomolecules. The nanocavity used for ... -
Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model
(Peer reviewed; Journal article, 2023)Stress affects individual of all ages as a regular part of life, but excessive and chronic stress can lead to physical and mental health problems, decreased productivity, and reduced quality of life. By identifying stress ... -
Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization
(Peer reviewed; Journal article, 2023)Object localization plays a crucial role in computational perception, enabling applications ranging from surveillance to autonomous navigation. This can be leveraged by fusing data from cameras and LiDARs (Light Detection ... -
Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey
(Peer reviewed; Journal article, 2022)In the modern-day era of technology, a paradigm shift has been witnessed in the areas involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Specifically, Deep Neural Networks ... -
Enabling Precision Medicine via Contemporary and Future Communication Technologies: A Survey
(Peer reviewed; Journal article, 2023)Precision medicine (PM) is an innovative medical approach that considers differences in the individuals’ omics, medical histories, lifestyles, and environmental information in treating diseases. To fully achieve the envisaged ... -
Estimation of the Time-Variant Velocity of a Single Walking Person in Two-Dimensional Non-Stationary Indoor Environments Using Radio-Frequency Techniques
(Peer reviewed; Journal article, 2020) -
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability
(Peer reviewed; Journal article, 2021) -
Face Inpainting via Nested Generative Adversarial Networks
(Peer reviewed; Journal article, 2019)